US banking regulators have proposed a unified AI governance framework to ensure interoperability across IT service management (ITSM), core banking systems, and third-party automation platforms used by banks. The proposal, led by federal agencies including the FDIC, OCC, and Federal Reserve, introduces interoperability standards and vendor risk guidelines aimed at harmonizing compliance and controls in AI-powered banking operations. The initiative reflects increased regulatory focus on managing operational risk and consumer protection related to AI deployments in multi-vendor environments.
Background
Regulators are responding to budget constraints and fragmented oversight across agencies by aligning AI governance standards for banks. In March 2026, the White House released a national AI framework recommending federal preemption of inconsistent state AI laws, with the goal of establishing uniform standards across jurisdictions. The framework emphasizes consistency while maintaining core consumer protections. The FDIC has testified that banks are increasingly deploying generative AI for customer support, call summarization, code automation, and underwriting workflows. These trends have driven the need for consistent model risk management and oversight of third-party AI vendors.
Details
The multi-agency proposal requires financial institutions to adopt AI systems that support seamless transitions between providers, reducing the risk of vendor lock-in. It cites previous guidance recommending that at least five AI software providers support baseline interoperability before contract agreements are finalized. The initiative also stresses the importance of explainability in customer-facing AI systems and stronger governance over AI used in risk models and compliance operations. Regulators reference model risk management standards and expect banks to review AI output accuracy and regulatory compliance periodically. Public letters from Fos indicated that sandbox environments and consistent federal supervision may accelerate safe AI adoption in community banking.
NIST has launched a standards initiative under its Center for AI Standards and Innovation to formalize protocols such as Agent2Agent (A2A) and Model Context Protocol (MCP) for autonomous agent interoperability, security, and identity. The private-sector AAIF consortium-including Anthropic, OpenAI, Google, and Microsoft-is collaborating with NIST to coordinate technical and governance frameworks. These efforts form the technical foundation for the proposed regulatory interoperability mandates.
Outlook
If adopted, the framework will require banks to update vendor risk management and procurement processes to prioritize interoperable AI technologies. Regulators may issue additional rules or supervisory expectations after industry consultation. Over time, unified federal AI governance could reshape how banks manage operational risk, auditability, and compliance across multi-vendor automation platforms while avoiding conflicting local requirements.
